Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system. - Janaína Ignácio de Morais; Hugo Queiroz Abonizio; Gabriel Marques Tavares; André Azevedo da Fonseca; Sylvio Barbon Jr. (SBSI, 2019)

Pre-trained Data Augmentation for Text Classification. - Hugo Queiroz Abonizio; Sylvio Barbon Junior (BRACIS, 2020)

Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features. - Hugo Queiroz Abonizio; Janaína Ignácio de Morais; Gabriel Marques Tavares; Sylvio Barbon Junior (Future Internet, 2020)

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese. - Janaína Ignácio de Morais; Hugo Queiroz Abonizio; Gabriel Marques Tavares; André Azevedo da Fonseca; Sylvio Barbon Jr. (Braz. J. Inf. Syst., 2020)

MonoByte: A Pool of Monolingual Byte-level Language Models. - Hugo Queiroz Abonizio; Leandro Rodrigues de Souza; Roberto A. Lotufo; Rodrigo Nogueira 001 (COLING, 2022)

InPars: Unsupervised Dataset Generation for Information Retrieval. - Luiz Henrique Bonifacio; Hugo Queiroz Abonizio; Marzieh Fadaee; Rodrigo Nogueira 001 (SIGIR, 2022)

InPars: Data Augmentation for Information Retrieval using Large Language Models. - Luiz Henrique Bonifacio; Hugo Queiroz Abonizio; Marzieh Fadaee; Rodrigo Nogueira 001 (CoRR, 2022)

Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task. - Guilherme Moraes Rosa; Luiz Henrique Bonifacio; Vitor Jeronymo; Hugo Queiroz Abonizio; Roberto A. Lotufo; Rodrigo Nogueira 001 (CoRR, 2022)

No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval. - Guilherme Moraes Rosa; Luiz Henrique Bonifacio; Vitor Jeronymo; Hugo Queiroz Abonizio; Marzieh Fadaee; Roberto A. Lotufo; Rodrigo Nogueira 001 (CoRR, 2022)

In Defense of Cross-Encoders for Zero-Shot Retrieval. - Guilherme Rosa; Luiz Henrique Bonifacio; Vitor Jeronymo; Hugo Queiroz Abonizio; Marzieh Fadaee; Roberto A. Lotufo; Rodrigo Nogueira 001 (CoRR, 2022)

Toward Text Data Augmentation for Sentiment Analysis. - Hugo Queiroz Abonizio; Emerson Cabrera Paraiso; Sylvio Barbon (IEEE Trans. Artif. Intell., 2022)

[inline-graphic not available: see fulltext] Sabiá: Portuguese Large Language Models. - Ramon Pires; Hugo Queiroz Abonizio; Thales Sales Almeida; Rodrigo Nogueira 001 (BRACIS (3), 2023)

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval. - Vitor Jeronymo; Luiz Henrique Bonifacio; Hugo Queiroz Abonizio; Marzieh Fadaee; Roberto A. Lotufo; Jakub Zavrel; Rodrigo Nogueira 001 (CoRR, 2023)

Sabiá: Portuguese Large Language Models. - Ramon Pires; Hugo Queiroz Abonizio; Thales Sales Almeida; Rodrigo Nogueira 001 (CoRR, 2023)

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval. - Hugo Queiroz Abonizio; Luiz Henrique Bonifacio; Vitor Jeronymo; Roberto A. Lotufo; Jakub Zavrel; Rodrigo Nogueira 001 (CoRR, 2023)

Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams. - Ramon Pires; Thales Sales Almeida; Hugo Queiroz Abonizio; Rodrigo Nogueira 001 (CoRR, 2023)

How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case. - Hugo Queiroz Abonizio; Ana Paula A. C. Barbon; Renne Rodrigues; Mayara Santos; Vicente Martínez-Vizcaíno; Arthur Eumann Mesas; Sylvio Barbon Junior (Int. J. Medical Informatics, 2023)

Sabiá-2: A New Generation of Portuguese Large Language Models. - Thales Sales Almeida; Hugo Queiroz Abonizio; Rodrigo Nogueira 001; Ramon Pires (CoRR, 2024)

Sabiá-3 Technical Report. - Hugo Queiroz Abonizio; Thales Sales Almeida; Thiago Soares Laitz; Roseval Malaquias Junior; Giovana K. Bonás; Rodrigo Nogueira 001; Ramon Pires (CoRR, 2024)

TiEBe: A Benchmark for Assessing the Current Knowledge of Large Language Models. - Thales Sales Almeida; Giovana K. Bonás; João Guilherme Alves Santos; Hugo Queiroz Abonizio; Rodrigo Nogueira 001 (CoRR, 2025)